Parameter selection and feature representation method of jamming effect online evaluation

被引：0

作者：

Lei Z. ^{[1
]}

Liu S. ^{[1
]}

Ge Y. ^{[1
]}

Wen Z. ^{[1
]}

机构：

[1] Department of Information System, Dalian Naval Academy, Dalian

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2020年 / 42卷 / 12期

关键词：

Box dimension; Information entropy; Jamming effect; Online evaluation; Pearson correlation coefficient;

D O I：

10.3969/j.issn.1001-506X.2020.12.11

中图分类号：

学科分类号：

摘要：

In view of parameter redundancy and unclear signal change degree in the online evaluation of jamming effect by radar reconnaissance signals, a parameter selection and feature representation method of radar jamming effect online evaluation is proposed. Firstly, for multi-function maritime radar signals, information entropy is used to screen wildly varying parameters. The box dimension and Pearson correlation coefficients are then used to extract the signal variation characteristics. Finally, the support vector machine is used to evaluate the jamming effect of unknown threats. Simulation experiments show that the new method evaluation accuracy is higher than 92%, when the deviation error of the signal parameter is less than 10%, which significantly improves the reliability of online evaluation of radar jamming effect. © 2020, Editorial Office of Systems Engineering and Electronics. All right reserved.

引用

页码：2755 / 2760

页数：5

共 27 条

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